MZ Journal of Artificial Intelligence

About the Journal

The Journal of Artificial Intelligence (MZJAI) is a leading publication dedicated to advancing the field of artificial intelligence (AI) through the dissemination of cutting-edge research, innovative ideas, and impactful insights. Established with a vision to foster collaboration and knowledge exchange, MZJAI serves as a platform for researchers, scientists, practitioners, and enthusiasts to contribute to the ongoing evolution of AI.

Current Issue

Vol. 1 No. 2 (2024): JAI Vol. 1 Issue 1 [Jul – Dec 2024]

Published: 2024-07-16

Articles

Predicting Diabetes Onset: Interpretable Machine Learning Solutions

Ahmed Al-Mansouri

1−6
- PDF
Smart DevOps: AI-Powered Orchestration for Optimized Cloud Environments

Ismail Patel

1−5
- PDF
Simultaneous Localization and Mapping (SLAM) with 3D Vision for Robotics

Asma Ahmad

1−10
- PDF
AI-Powered Cloud Storage: A Complete Review of Efficiency Improvements

Leila Abbas

1−8
- PDF
Predictive Analytics for Cybersecurity: AI in Risk Mitigation

Mahmoud Khalil

1−8
- PDF
Proactive Cyber Defense: AI in Supply Chain Risk Management

Anita Mishra

1−6
- PDF
AI Revolutionizing Healthcare: Innovations, Challenges, and Ethical Considerations

Sabira Arefin

1−17
- PDF
Zero-Shot Machine Translation: Bridging the Gap between Pre-Trained and Random-Initialized Models

Rafael Barbosa
- PDF
Real-Time Path Planning for Autonomous Robots Using Ant Colony Optimization

Gideon Eze
- PDF
Self-Supervised Learning for Multi-Modal Data

Matej Kovač , Tina Zupan
- PDF
Time Series Analysis with Machine Learning: A Comprehensive Review and Future Directions

Kristjan Mägi
- PDF
Sequential Task Tuning: Overcoming Catastrophic Forgetting with Memory-Augmented Language Models

Dhruba Kumar
- PDF
The Future of Financial Services: Integrating AI for Smarter, More Efficient Operations

Haider Ali Javaid
- PDF
Transparency in AI Supply Chains: Addressing Ethical Dilemmas in Data Collection and Usage

Ahmad Amjad Mir
- PDF
AI in Healthcare: Revolutionizing Diagnosis and Treatment through Machine Learning

Xiang Chen
- PDF
Leveraging Knowledge Graphs for Cross-Lingual Semantic Parsing: A Curriculum-Based Fine-Tuning Approach

Anja Kovačić
- PDF
Unified Multimodal Transformers: Improving Vision-Language Models with Knowledge-Guided Attention Mechanisms

Aderinsola Aderinokun
- PDF
AI-Driven Predictive Analytics for Supply Chain Risk Management

Pradeep Verma
- PDF

View All Issues